Triple
T31023354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations General Assembly resolution 913 (X) |
E790506
|
entity |
| Predicate | UNSessionNumber |
P168307
|
FINISHED |
| Object | 10th session |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 10th session | Statement: [United Nations General Assembly resolution 913 (X), UNSessionNumber, 10th session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNSessionNumber Context triple: [United Nations General Assembly resolution 913 (X), UNSessionNumber, 10th session]
-
A.
numberWithinSession
Indicates the ordinal position or index that something occupies within a given session.
-
B.
selectionSessionNumber
Indicates the specific numbered position or identifier assigned to a selection within a sequence or session of selections.
-
C.
isNumberedSessionOf
Indicates that a specific session is one in a numbered sequence of sessions belonging to a particular event or series.
-
D.
UNResolutionSessionNumber
chosen
Indicates the specific numbered session of the United Nations in which a given resolution was discussed, adopted, or otherwise handled.
-
E.
awardedAtSessionNumber
Indicates the specific numbered session during which an award or recognition was given.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:58 p.m.